Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 33-55 |
Seitenumfang | 23 |
Fachzeitschrift | International Journal on Digital Libraries |
Jahrgang | 23 |
Ausgabenummer | 1 |
Frühes Online-Datum | 28 Juli 2021 |
Publikationsstatus | Veröffentlicht - März 2022 |
Abstract
Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work. Recently, several initiatives have proposed knowledge graphs (KG) for organising scientific information as a solution to many of the current issues. The focus of these proposals is, however, usually restricted to very specific use cases. In this paper, we aim to transcend this limited perspective and present a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting and reviewing daily core tasks of a scientist, (b) establishing their consequential requirements for a KG-based system, (c) identifying overlaps and specificities, and their coverage in current solutions. As a result, we map necessary and desirable requirements for successful KG-based science communication, derive implications, and outline possible solutions.
ASJC Scopus Sachgebiete
- Sozialwissenschaften (insg.)
- Bibliotheks- und Informationswissenschaften
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in: International Journal on Digital Libraries, Jahrgang 23, Nr. 1, 03.2022, S. 33-55.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Analysing the requirements for an Open Research Knowledge Graph
T2 - use cases, quality requirements, and construction strategies
AU - Brack, Arthur
AU - Hoppe, Anett
AU - Stocker, Markus
AU - Auer, Sören
AU - Ewerth, Ralph
N1 - Funding Information: This work was co-funded by the European Research Council for the Project ScienceGRAPH (Grant agreement ID: 819536).
PY - 2022/3
Y1 - 2022/3
N2 - Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work. Recently, several initiatives have proposed knowledge graphs (KG) for organising scientific information as a solution to many of the current issues. The focus of these proposals is, however, usually restricted to very specific use cases. In this paper, we aim to transcend this limited perspective and present a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting and reviewing daily core tasks of a scientist, (b) establishing their consequential requirements for a KG-based system, (c) identifying overlaps and specificities, and their coverage in current solutions. As a result, we map necessary and desirable requirements for successful KG-based science communication, derive implications, and outline possible solutions.
AB - Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it nearly impossible to get a full overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work. Recently, several initiatives have proposed knowledge graphs (KG) for organising scientific information as a solution to many of the current issues. The focus of these proposals is, however, usually restricted to very specific use cases. In this paper, we aim to transcend this limited perspective and present a comprehensive analysis of requirements for an Open Research Knowledge Graph (ORKG) by (a) collecting and reviewing daily core tasks of a scientist, (b) establishing their consequential requirements for a KG-based system, (c) identifying overlaps and specificities, and their coverage in current solutions. As a result, we map necessary and desirable requirements for successful KG-based science communication, derive implications, and outline possible solutions.
KW - Design science research
KW - Requirements analysis
KW - Research knowledge graph
KW - Scholarly communication
UR - http://www.scopus.com/inward/record.url?scp=85111540907&partnerID=8YFLogxK
U2 - 10.1007/s00799-021-00306-x
DO - 10.1007/s00799-021-00306-x
M3 - Article
AN - SCOPUS:85111540907
VL - 23
SP - 33
EP - 55
JO - International Journal on Digital Libraries
JF - International Journal on Digital Libraries
SN - 1432-5012
IS - 1
ER -